uKnomi

The Eyes, Ears, and Intelligence that is reinventing Quick Service
Dallas

About uKnomi

uKnomi is an AI-powered point-of-service platform that delivers real-time intelligence to optimize service flow, personalize selling, and enhance guest engagement in quick service restaurants and other high-frequency service environments.
The platform is deployed as both actionable Management Insights and an in-store Digital Assistant, combining Service Management with “Marketing in the Moment.” It guides staff with real-time prompts that improve speed, increase attachment rates, and drive meaningful guest interactions, amplifying people, not replacing them.
uKnomi integrates seamlessly with existing systems including POS, loyalty platforms, mobile apps, online reviews, and digital menu boards. By enhancing, not replacing current infrastructure, it enables operators to activate data at the point of service, where it has the greatest impact.
The result is measurable performance improvement across throughput, revenue per transaction, loyalty engagement, and guest experience — delivered through a modular, scalable platform designed for rapid deployment across multi-brand franchise groups.

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Problem statement

Quick service restaurants operate in high-volume, time-constrained environments where small service moments directly impact revenue, efficiency, and customer retention. However, these interactions remain largely unmanaged and inconsistent.
Despite widespread adoption of POS systems, loyalty platforms, and digital ordering, operators still face fundamental gaps:
• Guests arrive unrecognized and unengaged, even when they are repeat customers
• Staff are expected to deliver consistent service, upsell effectively, and drive engagement but lack real-time guidance
• High-value actions such as suggestive selling, reviews, and loyalty signups are frequently missed, especially during peak
• Existing systems generate data but fail to translate it into action at the point of service
This results in:
• Lost revenue from missed attachment opportunities and low conversion
• Inconsistent service execution across stores and shifts
• Increased training burden with limited performance visibility
• Underutilized marketing channels with weak in-store activation
Operators have invested heavily in technology, but lack the real-time intelligence layer needed to consistently execute at the moment that matters most — the guest interaction.

Traction information

uKnomi has demonstrated strong early traction through live deployments, pilot-to-rollout conversions, and measurable performance improvements across multiple brands and franchise groups.
Commercial Traction
• Live Customers: CC’s Coffee House and Eegee’s, both progressing from pilot to multi-store rollout
• Active Pilots: Burger King and Dunkin franchise groups, with multi-brand operators evaluating expansion
• Enterprise Engagement: NDAs and active discussions with Yum! Brands, CKE, and Nando’s
Proven Pilot-to-Scale Execution
• Successfully converted early pilots into production rollouts
• Demonstrated repeatable deployment model across locations
• Ability to expand within franchise groups and across multiple brands
Measured Performance Impact
Across deployments, uKnomi consistently delivers:
• +15% increase in throughput
• +40% lift in suggestive selling
• 2x increase in online reviews
• +12% increase in loyalty signups
• +8% increase in visit frequency
These outcomes are driven by real-time prompts and service intelligence at the point of interaction, not post-visit analytics.
Pipeline Strength
• Growing pipeline across multi-brand franchise groups
• Strong inbound and partner-driven interest via POS, loyalty, and installer ecosystems
• High expansion potential, where a single sale can scale across multiple brands and 100+ locations

Milestones

February 2026

Completed 2nd full brand deployment

Completed second major brand deployment

February 2025

Completed full brand roll-out

Completed full roll-out to all CC’s Coffee drive-thru’s

March 2024

Contracted pilots with two medium size brands

Signed up Salad and Go and CC’s coffee and deployed the first stores.

July 2023

Concluded agreement with second brand

Concluded license and services agreement to roll out to 35 stores

May 2023

Sent first invoice

After adding and testing customer app registration capabilities we formally licensed our first client

December 2022

Started first operational POC

Started first operational POC at 2 drive-thru restaurants

September 2022

Concluded first round of family

Funding from friends and family to start enlist customers and prove the concept

July 2022

Tastebuds AI starts training

A first of it’s kind AI model that use customer order history and other menu data to predict what people would order

May 2022

Completed site simulation tests

Completed 3rd simulation site tests for recognition and tracking

October 2021

Testing Store App at a real store

Testing device installation and gather tracking data to analyze for a month

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Funding

Currently raising capital

$0
committed
$1,000,000
round goal
Total raised to date: $1,700,000
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